2016•Unpublished venueRequires access

On the Performance Potential of Speculative Execution Based on Branch and Value Prediction

Pece Mitrevski, Marjan Gušev

Abstract

Abstract: Fluid Stochastic Petri Nets are used to capture the dynamic behav-ior of an ILP processor, and discrete-event simulation is applied to assess the performance potential of predictions and speculative execution in boosting the performance of ILP processors that fetch, issue, execute and commit a large number of instructions per cycle.

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Available abstract

Key concepts: Speculative multithreading, Branch predictor, Computer science, Fetch, Speculative execution, Commit, Parallel computing, Boosting (machine learning)